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<a href="mma__tensor__op__wmma_8h.html">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno">    1</span>&#160;<span class="comment">/***************************************************************************************************</span></div><div class="line"><a name="l00002"></a><span class="lineno">    2</span>&#160;<span class="comment"> * Copyright (c) 2017-2019, NVIDIA CORPORATION.  All rights reserved.</span></div><div class="line"><a name="l00003"></a><span class="lineno">    3</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00004"></a><span class="lineno">    4</span>&#160;<span class="comment"> * Redistribution and use in source and binary forms, with or without modification, are permitted</span></div><div class="line"><a name="l00005"></a><span class="lineno">    5</span>&#160;<span class="comment"> * provided that the following conditions are met:</span></div><div class="line"><a name="l00006"></a><span class="lineno">    6</span>&#160;<span class="comment"> *     * Redistributions of source code must retain the above copyright notice, this list of</span></div><div class="line"><a name="l00007"></a><span class="lineno">    7</span>&#160;<span class="comment"> *       conditions and the following disclaimer.</span></div><div class="line"><a name="l00008"></a><span class="lineno">    8</span>&#160;<span class="comment"> *     * Redistributions in binary form must reproduce the above copyright notice, this list of</span></div><div class="line"><a name="l00009"></a><span class="lineno">    9</span>&#160;<span class="comment"> *       conditions and the following disclaimer in the documentation and/or other materials</span></div><div class="line"><a name="l00010"></a><span class="lineno">   10</span>&#160;<span class="comment"> *       provided with the distribution.</span></div><div class="line"><a name="l00011"></a><span class="lineno">   11</span>&#160;<span class="comment"> *     * Neither the name of the NVIDIA CORPORATION nor the names of its contributors may be used</span></div><div class="line"><a name="l00012"></a><span class="lineno">   12</span>&#160;<span class="comment"> *       to endorse or promote products derived from this software without specific prior written</span></div><div class="line"><a name="l00013"></a><span class="lineno">   13</span>&#160;<span class="comment"> *       permission.</span></div><div class="line"><a name="l00014"></a><span class="lineno">   14</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00015"></a><span class="lineno">   15</span>&#160;<span class="comment"> * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS &quot;AS IS&quot; AND ANY EXPRESS OR</span></div><div class="line"><a name="l00016"></a><span class="lineno">   16</span>&#160;<span class="comment"> * IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND</span></div><div class="line"><a name="l00017"></a><span class="lineno">   17</span>&#160;<span class="comment"> * FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL NVIDIA CORPORATION BE LIABLE</span></div><div class="line"><a name="l00018"></a><span class="lineno">   18</span>&#160;<span class="comment"> * FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING,</span></div><div class="line"><a name="l00019"></a><span class="lineno">   19</span>&#160;<span class="comment"> * BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS;</span></div><div class="line"><a name="l00020"></a><span class="lineno">   20</span>&#160;<span class="comment"> * OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT,</span></div><div class="line"><a name="l00021"></a><span class="lineno">   21</span>&#160;<span class="comment"> * STRICT LIABILITY, OR TOR (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE</span></div><div class="line"><a name="l00022"></a><span class="lineno">   22</span>&#160;<span class="comment"> * OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.</span></div><div class="line"><a name="l00023"></a><span class="lineno">   23</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00024"></a><span class="lineno">   24</span>&#160;<span class="comment"> **************************************************************************************************/</span></div><div class="line"><a name="l00030"></a><span class="lineno">   30</span>&#160;<span class="preprocessor">#pragma once</span></div><div class="line"><a name="l00031"></a><span class="lineno">   31</span>&#160;</div><div class="line"><a name="l00032"></a><span class="lineno">   32</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="cutlass_8h.html">cutlass/cutlass.h</a>&quot;</span></div><div class="line"><a name="l00033"></a><span class="lineno">   33</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="wmma_8h.html">cutlass/arch/wmma.h</a>&quot;</span></div><div class="line"><a name="l00034"></a><span class="lineno">   34</span>&#160;</div><div class="line"><a name="l00035"></a><span class="lineno">   35</span>&#160;<span class="preprocessor">#if defined(CUTLASS_ARCH_WMMA_ENABLED)</span></div><div class="line"><a name="l00036"></a><span class="lineno">   36</span>&#160;</div><div class="line"><a name="l00037"></a><span class="lineno">   37</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="wmma__array_8h.html">cutlass/wmma_array.h</a>&quot;</span></div><div class="line"><a name="l00038"></a><span class="lineno">   38</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="numeric__types_8h.html">cutlass/numeric_types.h</a>&quot;</span></div><div class="line"><a name="l00039"></a><span class="lineno">   39</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="matrix__shape_8h.html">cutlass/matrix_shape.h</a>&quot;</span></div><div class="line"><a name="l00040"></a><span class="lineno">   40</span>&#160;</div><div class="line"><a name="l00041"></a><span class="lineno">   41</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="memory__sm75_8h.html">cutlass/arch/memory_sm75.h</a>&quot;</span></div><div class="line"><a name="l00042"></a><span class="lineno">   42</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="mma__sm75_8h.html">cutlass/arch/mma_sm75.h</a>&quot;</span></div><div class="line"><a name="l00043"></a><span class="lineno">   43</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="include_2cutlass_2gemm_2gemm_8h.html">cutlass/gemm/gemm.h</a>&quot;</span></div><div class="line"><a name="l00044"></a><span class="lineno">   44</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="gemm_2warp_2mma_8h.html">cutlass/gemm/warp/mma.h</a>&quot;</span></div><div class="line"><a name="l00045"></a><span class="lineno">   45</span>&#160;</div><div class="line"><a name="l00046"></a><span class="lineno">   46</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="mma__tensor__op__policy_8h.html">cutlass/gemm/warp/mma_tensor_op_policy.h</a>&quot;</span></div><div class="line"><a name="l00047"></a><span class="lineno">   47</span>&#160;</div><div class="line"><a name="l00048"></a><span class="lineno">   48</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="mma__tensor__op__tile__iterator__wmma_8h.html">cutlass/gemm/warp/mma_tensor_op_tile_iterator_wmma.h</a>&quot;</span></div><div class="line"><a name="l00049"></a><span class="lineno">   49</span>&#160;</div><div class="line"><a name="l00051"></a><span class="lineno">   51</span>&#160;</div><div class="line"><a name="l00052"></a><span class="lineno">   52</span>&#160;<span class="keyword">namespace </span><a class="code" href="namespacecutlass.html">cutlass</a> {</div><div class="line"><a name="l00053"></a><span class="lineno">   53</span>&#160;<span class="keyword">namespace </span>gemm {</div><div class="line"><a name="l00054"></a><span class="lineno">   54</span>&#160;<span class="keyword">namespace </span>warp {</div><div class="line"><a name="l00055"></a><span class="lineno">   55</span>&#160;</div><div class="line"><a name="l00057"></a><span class="lineno">   57</span>&#160;</div><div class="line"><a name="l00059"></a><span class="lineno">   59</span>&#160;<span class="keyword">template</span> &lt; </div><div class="line"><a name="l00061"></a><span class="lineno">   61</span>&#160;  <span class="keyword">typename</span> Shape_,</div><div class="line"><a name="l00063"></a><span class="lineno">   63</span>&#160;  <span class="keyword">typename</span> ElementA_,</div><div class="line"><a name="l00065"></a><span class="lineno">   65</span>&#160;  <span class="keyword">typename</span> LayoutA_,</div><div class="line"><a name="l00067"></a><span class="lineno">   67</span>&#160;  <span class="keyword">typename</span> ElementB_,</div><div class="line"><a name="l00069"></a><span class="lineno">   69</span>&#160;  <span class="keyword">typename</span> LayoutB_,</div><div class="line"><a name="l00071"></a><span class="lineno">   71</span>&#160;  <span class="keyword">typename</span> ElementC_,</div><div class="line"><a name="l00073"></a><span class="lineno">   73</span>&#160;  <span class="keyword">typename</span> LayoutC_,</div><div class="line"><a name="l00075"></a><span class="lineno">   75</span>&#160;  <span class="keyword">typename</span> Policy_,</div><div class="line"><a name="l00077"></a><span class="lineno">   77</span>&#160;  <span class="keywordtype">int</span> PartitionsK_ = 1,</div><div class="line"><a name="l00079"></a><span class="lineno">   79</span>&#160;  <span class="keywordtype">int</span> PartitionsN_ = 1,</div><div class="line"><a name="l00081"></a><span class="lineno">   81</span>&#160;  <span class="keyword">typename</span> Enable = <span class="keywordtype">bool</span></div><div class="line"><a name="l00082"></a><span class="lineno">   82</span>&#160;&gt;</div><div class="line"><a name="l00083"></a><span class="lineno">   83</span>&#160;<span class="keyword">class </span>MmaTensorOpWmma {</div><div class="line"><a name="l00084"></a><span class="lineno">   84</span>&#160;<span class="keyword">public</span>:</div><div class="line"><a name="l00086"></a><span class="lineno">   86</span>&#160;  <span class="keyword">using</span> Shape = Shape_;</div><div class="line"><a name="l00087"></a><span class="lineno">   87</span>&#160;</div><div class="line"><a name="l00089"></a><span class="lineno">   89</span>&#160;  <span class="keyword">using</span> ElementA = ElementA_;</div><div class="line"><a name="l00090"></a><span class="lineno">   90</span>&#160;</div><div class="line"><a name="l00092"></a><span class="lineno">   92</span>&#160;  <span class="keyword">using</span> LayoutA = LayoutA_;</div><div class="line"><a name="l00093"></a><span class="lineno">   93</span>&#160;</div><div class="line"><a name="l00095"></a><span class="lineno">   95</span>&#160;  <span class="keyword">using</span> ElementB = ElementB_;</div><div class="line"><a name="l00096"></a><span class="lineno">   96</span>&#160;</div><div class="line"><a name="l00098"></a><span class="lineno">   98</span>&#160;  <span class="keyword">using</span> LayoutB = LayoutB_;</div><div class="line"><a name="l00099"></a><span class="lineno">   99</span>&#160;</div><div class="line"><a name="l00101"></a><span class="lineno">  101</span>&#160;  <span class="keyword">using</span> ElementC = ElementC_;</div><div class="line"><a name="l00102"></a><span class="lineno">  102</span>&#160;</div><div class="line"><a name="l00104"></a><span class="lineno">  104</span>&#160;  <span class="keyword">using</span> LayoutC = LayoutC_;</div><div class="line"><a name="l00105"></a><span class="lineno">  105</span>&#160;</div><div class="line"><a name="l00107"></a><span class="lineno">  107</span>&#160;  <span class="keyword">using</span> Policy = Policy_;</div><div class="line"><a name="l00108"></a><span class="lineno">  108</span>&#160;</div><div class="line"><a name="l00110"></a><span class="lineno">  110</span>&#160;  <span class="keyword">using</span> OperatorClass = arch::OpClassTensorOp;</div><div class="line"><a name="l00111"></a><span class="lineno">  111</span>&#160;</div><div class="line"><a name="l00113"></a><span class="lineno">  113</span>&#160;  <span class="keyword">static</span> <span class="keywordtype">int</span> <span class="keyword">const</span> kThreadCount = 32;</div><div class="line"><a name="l00114"></a><span class="lineno">  114</span>&#160;</div><div class="line"><a name="l00116"></a><span class="lineno">  116</span>&#160;  <span class="keyword">static</span> <span class="keywordtype">int</span> <span class="keyword">const</span> kPartitionsK = PartitionsK_;</div><div class="line"><a name="l00117"></a><span class="lineno">  117</span>&#160;</div><div class="line"><a name="l00119"></a><span class="lineno">  119</span>&#160;  <span class="keyword">static</span> <span class="keywordtype">int</span> <span class="keyword">const</span> kPartitionsN = PartitionsN_;</div><div class="line"><a name="l00120"></a><span class="lineno">  120</span>&#160;</div><div class="line"><a name="l00121"></a><span class="lineno">  121</span>&#160;<span class="keyword">public</span>:</div><div class="line"><a name="l00122"></a><span class="lineno">  122</span>&#160;</div><div class="line"><a name="l00124"></a><span class="lineno">  124</span>&#160;  <span class="keyword">using</span> IteratorA = MmaTensorOpWmmaMultiplicandTileIterator&lt;</div><div class="line"><a name="l00125"></a><span class="lineno">  125</span>&#160;     MatrixShape&lt;Shape::kM, Shape::kK&gt;, <a class="code" href="namespacecutlass_1_1gemm.html#a34338284023da7403c9ecbd3f406b2a6a30f767aa191cd5d261e767fd78393607">Operand::kA</a>, ElementA, LayoutA,</div><div class="line"><a name="l00126"></a><span class="lineno">  126</span>&#160;     Policy::OpDelta::kRow, kThreadCount, Policy&gt;;</div><div class="line"><a name="l00127"></a><span class="lineno">  127</span>&#160;</div><div class="line"><a name="l00129"></a><span class="lineno">  129</span>&#160;  <span class="keyword">using</span> FragmentA = <span class="keyword">typename</span> IteratorA::Fragment;</div><div class="line"><a name="l00130"></a><span class="lineno">  130</span>&#160;</div><div class="line"><a name="l00132"></a><span class="lineno">  132</span>&#160;  <span class="keyword">using</span> IteratorB = MmaTensorOpWmmaMultiplicandTileIterator&lt;</div><div class="line"><a name="l00133"></a><span class="lineno">  133</span>&#160;     MatrixShape&lt;Shape::kK, Shape::kN&gt;, <a class="code" href="namespacecutlass_1_1gemm.html#a34338284023da7403c9ecbd3f406b2a6a3e56c011b37f0bc78fb9eb175c1181c6">Operand::kB</a>, ElementB, LayoutB,</div><div class="line"><a name="l00134"></a><span class="lineno">  134</span>&#160;     Policy::OpDelta::kRow, kThreadCount, Policy&gt;;</div><div class="line"><a name="l00135"></a><span class="lineno">  135</span>&#160;</div><div class="line"><a name="l00137"></a><span class="lineno">  137</span>&#160;  <span class="keyword">using</span> FragmentB = <span class="keyword">typename</span> IteratorB::Fragment;</div><div class="line"><a name="l00138"></a><span class="lineno">  138</span>&#160;</div><div class="line"><a name="l00140"></a><span class="lineno">  140</span>&#160;  <span class="keyword">using</span> IteratorC = MmaTensorOpWmmaAccumulatorTileIterator&lt;</div><div class="line"><a name="l00141"></a><span class="lineno">  141</span>&#160;     MatrixShape&lt;Shape::kM, Shape::kN&gt;, ElementC, LayoutC,</div><div class="line"><a name="l00142"></a><span class="lineno">  142</span>&#160;    <span class="keyword">typename</span> Policy::OpDelta, Policy&gt;;</div><div class="line"><a name="l00143"></a><span class="lineno">  143</span>&#160;</div><div class="line"><a name="l00145"></a><span class="lineno">  145</span>&#160;  <span class="keyword">using</span> FragmentC = <span class="keyword">typename</span> IteratorC::Fragment;</div><div class="line"><a name="l00146"></a><span class="lineno">  146</span>&#160;</div><div class="line"><a name="l00147"></a><span class="lineno">  147</span>&#160;<span class="keyword">private</span>:</div><div class="line"><a name="l00148"></a><span class="lineno">  148</span>&#160;</div><div class="line"><a name="l00149"></a><span class="lineno">  149</span>&#160;  <a class="code" href="platform_8h.html#adde4c9ea91b753491851361a4198c009">static_assert</a>(</div><div class="line"><a name="l00150"></a><span class="lineno">  150</span>&#160;    !(Shape::kM % Policy::Operator::Shape::kM) &amp;&amp; </div><div class="line"><a name="l00151"></a><span class="lineno">  151</span>&#160;    !(Shape::kN % Policy::Operator::Shape::kN),</div><div class="line"><a name="l00152"></a><span class="lineno">  152</span>&#160;    <span class="stringliteral">&quot;Shape of warp-level Wmma must be divisible by operator shape (wmma native size)&quot;</span>);</div><div class="line"><a name="l00153"></a><span class="lineno">  153</span>&#160;</div><div class="line"><a name="l00155"></a><span class="lineno">  155</span>&#160;  <span class="keyword">using</span> WmmaIterations = MatrixShape&lt;</div><div class="line"><a name="l00156"></a><span class="lineno">  156</span>&#160;    Shape::kM / Policy::Operator::Shape::kM,</div><div class="line"><a name="l00157"></a><span class="lineno">  157</span>&#160;    (Shape::kN / Policy::Operator::Shape::kN / kPartitionsN &gt; 0) ?</div><div class="line"><a name="l00158"></a><span class="lineno">  158</span>&#160;     Shape::kN / Policy::Operator::Shape::kN / kPartitionsN :</div><div class="line"><a name="l00159"></a><span class="lineno">  159</span>&#160;      1</div><div class="line"><a name="l00160"></a><span class="lineno">  160</span>&#160;  &gt;;</div><div class="line"><a name="l00161"></a><span class="lineno">  161</span>&#160;</div><div class="line"><a name="l00162"></a><span class="lineno">  162</span>&#160;<span class="keyword">public</span>:</div><div class="line"><a name="l00163"></a><span class="lineno">  163</span>&#160;</div><div class="line"><a name="l00165"></a><span class="lineno">  165</span>&#160;  <span class="keyword">typename</span> Policy::Operator wmma;</div><div class="line"><a name="l00166"></a><span class="lineno">  166</span>&#160;</div><div class="line"><a name="l00167"></a><span class="lineno">  167</span>&#160;<span class="keyword">public</span>:</div><div class="line"><a name="l00168"></a><span class="lineno">  168</span>&#160;</div><div class="line"><a name="l00169"></a><span class="lineno">  169</span>&#160;  <span class="comment">//</span></div><div class="line"><a name="l00170"></a><span class="lineno">  170</span>&#160;  <span class="comment">// Methods</span></div><div class="line"><a name="l00171"></a><span class="lineno">  171</span>&#160;  <span class="comment">//</span></div><div class="line"><a name="l00172"></a><span class="lineno">  172</span>&#160;</div><div class="line"><a name="l00174"></a><span class="lineno">  174</span>&#160;  CUTLASS_DEVICE</div><div class="line"><a name="l00175"></a><span class="lineno">  175</span>&#160;  MmaTensorOpWmma() {}</div><div class="line"><a name="l00176"></a><span class="lineno">  176</span>&#160;</div><div class="line"><a name="l00178"></a><span class="lineno">  178</span>&#160;  CUTLASS_DEVICE</div><div class="line"><a name="l00179"></a><span class="lineno">  179</span>&#160;  <span class="keywordtype">void</span> operator()(</div><div class="line"><a name="l00180"></a><span class="lineno">  180</span>&#160;    FragmentC &amp;D, </div><div class="line"><a name="l00181"></a><span class="lineno">  181</span>&#160;    FragmentA <span class="keyword">const</span> &amp;A, </div><div class="line"><a name="l00182"></a><span class="lineno">  182</span>&#160;    FragmentB <span class="keyword">const</span> &amp;B, </div><div class="line"><a name="l00183"></a><span class="lineno">  183</span>&#160;    FragmentC <span class="keyword">const</span> &amp;C,</div><div class="line"><a name="l00184"></a><span class="lineno">  184</span>&#160;    <span class="keywordtype">int</span> <span class="keyword">const</span> &amp;partitionN_idx = 0)<span class="keyword"> const </span>{</div><div class="line"><a name="l00185"></a><span class="lineno">  185</span>&#160;</div><div class="line"><a name="l00186"></a><span class="lineno">  186</span>&#160;    <a class="code" href="cutlass_8h.html#a4b1c9f25ab6eaa25e1f2258dd63e6ce4">CUTLASS_PRAGMA_UNROLL</a></div><div class="line"><a name="l00187"></a><span class="lineno">  187</span>&#160;    <span class="keywordflow">for</span> (<span class="keywordtype">int</span> n = 0; n &lt; WmmaIterations::kColumn; ++n) {</div><div class="line"><a name="l00188"></a><span class="lineno">  188</span>&#160;      <a class="code" href="cutlass_8h.html#a4b1c9f25ab6eaa25e1f2258dd63e6ce4">CUTLASS_PRAGMA_UNROLL</a></div><div class="line"><a name="l00189"></a><span class="lineno">  189</span>&#160;      <span class="keywordflow">for</span> (<span class="keywordtype">int</span> m = 0; m &lt; WmmaIterations::kRow; ++m) {</div><div class="line"><a name="l00190"></a><span class="lineno">  190</span>&#160;</div><div class="line"><a name="l00191"></a><span class="lineno">  191</span>&#160;        <span class="comment">// accumulate wmma mma</span></div><div class="line"><a name="l00192"></a><span class="lineno">  192</span>&#160;        wmma(D[m * WmmaIterations::kColumn + n], A[m], B[n], C[m * WmmaIterations::kColumn + n]);</div><div class="line"><a name="l00193"></a><span class="lineno">  193</span>&#160;      }</div><div class="line"><a name="l00194"></a><span class="lineno">  194</span>&#160;    }  </div><div class="line"><a name="l00195"></a><span class="lineno">  195</span>&#160;  }</div><div class="line"><a name="l00196"></a><span class="lineno">  196</span>&#160;</div><div class="line"><a name="l00197"></a><span class="lineno">  197</span>&#160;};</div><div class="line"><a name="l00198"></a><span class="lineno">  198</span>&#160;</div><div class="line"><a name="l00200"></a><span class="lineno">  200</span>&#160;</div><div class="line"><a name="l00201"></a><span class="lineno">  201</span>&#160;} <span class="comment">// namespace warp</span></div><div class="line"><a name="l00202"></a><span class="lineno">  202</span>&#160;} <span class="comment">// namespace gemm</span></div><div class="line"><a name="l00203"></a><span class="lineno">  203</span>&#160;} <span class="comment">// namespace cutlass</span></div><div class="line"><a name="l00204"></a><span class="lineno">  204</span>&#160;</div><div class="line"><a name="l00205"></a><span class="lineno">  205</span>&#160;<span class="preprocessor">#endif // if defined(CUTLASS_ARCH_WMMA_ENABLED)</span></div><div class="line"><a name="l00206"></a><span class="lineno">  206</span>&#160;</div><div class="ttc" id="wmma__array_8h_html"><div class="ttname"><a href="wmma__array_8h.html">wmma_array.h</a></div><div class="ttdoc">Statically sized array of elements that accommodates all CUTLASS-supported numeric types and is safe ...</div></div>
<div class="ttc" id="namespacecutlass_html"><div class="ttname"><a href="namespacecutlass.html">cutlass</a></div><div class="ttdef"><b>Definition:</b> aligned_buffer.h:35</div></div>
<div class="ttc" id="memory__sm75_8h_html"><div class="ttname"><a href="memory__sm75_8h.html">memory_sm75.h</a></div><div class="ttdoc">Architecture-specific operators on memory added for SM75. </div></div>
<div class="ttc" id="include_2cutlass_2gemm_2gemm_8h_html"><div class="ttname"><a href="include_2cutlass_2gemm_2gemm_8h.html">gemm.h</a></div><div class="ttdoc">Defines common types used for all GEMM-like operators. </div></div>
<div class="ttc" id="mma__tensor__op__tile__iterator__wmma_8h_html"><div class="ttname"><a href="mma__tensor__op__tile__iterator__wmma_8h.html">mma_tensor_op_tile_iterator_wmma.h</a></div><div class="ttdoc">Defines iterators used by warp-level matrix multiply operations targeting Tensor Cores. </div></div>
<div class="ttc" id="cutlass_8h_html_a4b1c9f25ab6eaa25e1f2258dd63e6ce4"><div class="ttname"><a href="cutlass_8h.html#a4b1c9f25ab6eaa25e1f2258dd63e6ce4">CUTLASS_PRAGMA_UNROLL</a></div><div class="ttdeci">#define CUTLASS_PRAGMA_UNROLL</div><div class="ttdef"><b>Definition:</b> cutlass.h:110</div></div>
<div class="ttc" id="gemm_2warp_2mma_8h_html"><div class="ttname"><a href="gemm_2warp_2mma_8h.html">mma.h</a></div><div class="ttdoc">Templates exposing architecture support for warp-level multiply-add operations. </div></div>
<div class="ttc" id="namespacecutlass_1_1gemm_html_a34338284023da7403c9ecbd3f406b2a6a30f767aa191cd5d261e767fd78393607"><div class="ttname"><a href="namespacecutlass_1_1gemm.html#a34338284023da7403c9ecbd3f406b2a6a30f767aa191cd5d261e767fd78393607">cutlass::gemm::Operand::kA</a></div></div>
<div class="ttc" id="matrix__shape_8h_html"><div class="ttname"><a href="matrix__shape_8h.html">matrix_shape.h</a></div><div class="ttdoc">Defines a Shape template for matrix tiles. </div></div>
<div class="ttc" id="numeric__types_8h_html"><div class="ttname"><a href="numeric__types_8h.html">numeric_types.h</a></div><div class="ttdoc">Top-level include for all CUTLASS numeric types. </div></div>
<div class="ttc" id="platform_8h_html_adde4c9ea91b753491851361a4198c009"><div class="ttname"><a href="platform_8h.html#adde4c9ea91b753491851361a4198c009">static_assert</a></div><div class="ttdeci">#define static_assert(__e, __m)</div><div class="ttdef"><b>Definition:</b> platform.h:153</div></div>
<div class="ttc" id="mma__sm75_8h_html"><div class="ttname"><a href="mma__sm75_8h.html">mma_sm75.h</a></div><div class="ttdoc">Matrix multiply for SM75. </div></div>
<div class="ttc" id="namespacecutlass_1_1gemm_html_a34338284023da7403c9ecbd3f406b2a6a3e56c011b37f0bc78fb9eb175c1181c6"><div class="ttname"><a href="namespacecutlass_1_1gemm.html#a34338284023da7403c9ecbd3f406b2a6a3e56c011b37f0bc78fb9eb175c1181c6">cutlass::gemm::Operand::kB</a></div><div class="ttdoc">A multiplicand. </div></div>
<div class="ttc" id="wmma_8h_html"><div class="ttname"><a href="wmma_8h.html">wmma.h</a></div><div class="ttdoc">Templates exposing architecture support for warp matrix multiply-add (WMMA) operations. </div></div>
<div class="ttc" id="cutlass_8h_html"><div class="ttname"><a href="cutlass_8h.html">cutlass.h</a></div><div class="ttdoc">Basic include for CUTLASS. </div></div>
<div class="ttc" id="mma__tensor__op__policy_8h_html"><div class="ttname"><a href="mma__tensor__op__policy_8h.html">mma_tensor_op_policy.h</a></div><div class="ttdoc">Policy describing implementation details of warp-level GEMM targeting Tensor Cores. </div></div>
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